Server has 6 tools with visible schemas and descriptions, but quality is inconsistent. Tool names lack clear action verbs (find_music vs search_music, play_music vs start_playback). Descriptions are present but often vague or in Russian, making LLM selection difficult. Parameter descriptions exist but lack constraints (enums, ranges, formats). Critical security issue: eval_js exposes arbitrary code execution without safeguards. Error handling is minimal, most tools return raw error messages without recovery guidance. No output schemas documented. Composition is poor: play_music combines download+queue+play; stop_music has undocumented side effects (clears queue). Average tool score: 38/100.

• Rename find_music → search_music, play_music → queue_and_play_music (or split into queue_music + start_playback). Use verb_noun convention consistently.
• Add explicit output schemas for all tools. Document what fields are returned (e.g., find_music returns array of {title, url, duration, views}). This enables LLM to chain calls correctly.
• Translate all descriptions to English. eval_js and read_web_page descriptions are in Russian; LLMs optimize for English and may misinterpret non-English text.
• Remove or sandbox eval_js. If code execution is necessary, wrap it in a restricted environment (e.g., vm2 or similar) with explicit timeout, memory limits, and no filesystem/network access. Add permission gate requiring explicit user approval.
• Document side effects explicitly. stop_music must state 'Stops playback AND clears the queue' in the description. Add a separate clear_queue tool if queue management is a distinct concern.